code: def __init__(
      self,
      time_step_spec,
      action_spec,
      batch_size,
      threshold,
      name=None,
  ):
      self.batch_size = batch_size
      self.threshold = threshold
      super(SimpleThresholdConstraint, self).__init__(
          time_step_spec, action_spec, name="SimpleThresholdConstraint"
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import tensorflow
  from tf_agents.bandits.metrics import tf_metrics
  from tf_agents.bandits.policies import constraints
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.trajectories import trajectory
label_desc: Use image node_id 1 to create a new SimpleThresholdConstraint object from inherited base classes: constraints with example: obj = SimpleThresholdConstraint(time_step_spec, action_spec, batch_size, threshold, name)